Spaces:
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Update app.py
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app.py
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Based on the information obtained from various sources, to optimize your Gradio app for deployment on Hugging Face Spaces, follow these steps:
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1. **Create a New Space on Hugging Face**:
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- Select Gradio as the SDK when creating a new space on Hugging Face. This will initialize your space with the latest version of Gradio. Set the `sdk` property to `gradio` in your `README.md` file's YAML block [oai_citation:1,Gradio Spaces](https://huggingface.co/docs/hub/spaces-sdks-gradio).
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2. **Prepare Your Dependencies**:
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- If your app requires additional dependencies, create a `requirements.txt` file in your repository, and list all necessary libraries there [oai_citation:2,Gradio Spaces](https://huggingface.co/docs/hub/spaces-sdks-gradio).
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3. **Implement Your Gradio App**:
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- Create a new file called `app.py` in your repository.
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- Import necessary libraries, define your function to interact with the Rayso API, and create a Gradio interface.
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- Below is a simplified version of your original script adjusted for Hugging Face Spaces:
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```python
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import gradio as gr
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import requests
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if __name__ == "__main__":
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iface.launch()
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```
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4. **Deploy Your Gradio App**:
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- After creating your Gradio app, deploy it to Hugging Face Spaces by running the following command in your app directory:
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```bash
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gradio deploy
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```
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- This command gathers some basic metadata and then launches your app on Hugging Face Spaces [oai_citation:3,Sharing Your App - gradio.app](https://www.gradio.app/guides/sharing-your-app#:~:text=After%20you%20have%20created%20a,and%20then%20launch%20your%20app).
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5. **Review and Test Your App**:
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- Once deployed, test your app on Hugging Face Spaces to ensure it's working as expected. If necessary, make any required adjustments to your code, and redeploy the app.
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Now your Gradio app should be optimized and deployed on Hugging Face Spaces, allowing users to interact with the Rayso API through a user-friendly interface.
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import gradio as gr
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import requests
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if __name__ == "__main__":
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iface.launch()
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